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Trade War
Douglas MeadeUniversity of Maryland
December 6, 2018
Today
TCJA, Recession and Trade WarInforum Outlook
Policy IssuesDecline in U.S. Employment/Population Ratio
LunchLikely Economic Impacts of Tax Cut and Jobs Act (TCJA)Has the TCJA Worked?The Long Space Age
OverviewShort review of Tax Cut and Jobs Act (TCJA)
Analysis
Outlook for Recession
Trade War: Background and Analysis
REVIEW OF TCJA
The Promise of Tax Reform“The tax cuts in the Senate Plan will pay for themselves” – Kevin Brady, Chairman of House Ways and Means Committee, November 30, 2017.“The GOP tax overhaul means a $4,000-a-year pay raise for the average family by 2021” – Kevin Hassett, Chairman of the Council of Economic Advisors – January 29, 2018
“In its April fiscal update, the Congressional Budget Office estimated that the Tax Cuts and Jobs Act (TCJA) would increase the federal debt by $1.889 trillion from 2018-2027.”“Real average hourly earnings have increased at little over 1 percent for 2018” – St. Louis Fed, August, 2018.
Can Tax Cuts Pay for Themselves?“Increased economic growth will pay for the tax cut.” While not impossible, this is difficult.Fall 2017, Inforum/Quantria Study: Optimistic assumptions about the response of investment, labor productivity, labor force participation, and interest rates to see how much dynamic feedback would be possible. We assumed:
Labor force participation would increase in response to higher labor demand so that labor force would grow at an average of 0.6% from 2017 to 2027, compared to 0.51 in the base case.Labor productivity as set to increase at 1.4% compared with 1.2% in the base.Fixed investment was stimulated by the corporate tax cuts, and grew an average 3%, compared to 2.6% in the base.An outcome was that average GDP growth was 2.1% compared to 1.9% in the base. The increase was an average 0.24% over the 10 year period.
Tax Cut with Strong Dynamic Feedback
Dynamic Revenue Gain = ~$1 Trillion(Quantria/Inforum/UMD)
Dynamic Revenue Loss ($) (Quantria/Inforum/UMD)
Static Revenue Loss ($) (Quantria/Inforum/UMD)
Incremental GDP Growth (%)(Quantria/Inforum/UMD)
1.6%
1.8%
2.0%
2.2%
2.4%
2.6%
2.8%
3.0%
($175)
($150)
($125)
($100)
($75)
($50)
($25)
$0
2018 2019 2020 2021 2022 2023 2024 2025 2026 2027
In
cre
men
tal G
DP
Gro
wth
(%
)
Reven
ue (
$ b
illi
on
s)
How Much Faster Would GDP Need to Grow?The graph above compares:
Static revenue loss. Reducing tax rates, but assuming no increase in the tax base. The tax base is an adjusted measure of personal income for personal tax, and an estimate of taxable corporate profiits for corporate tax.Dynamic revenue loss. Implementing a tax cut scenario with additional growth, enabled partly by assumptions of increased labor supply and labor productivity.
By experimenting with faster growth-inducing assumptions, we can find a GDP growth rate where cumulative dynamic revenue loss is zero by 2027. Revenue loss occurs in all but the last year, so the model also accounts for additional interest expense of higher federal debt.The calculation indicates that GDP growth would need to be stimulated to a sustained level of 2.9% to reach zero dynamic revenue loss by 2027, assuming no additional spending or tax cuts. This average growth rate of course includes any recession that may occur.Average potential GDP growth in the base is only 1.86%, so this would imply a big increase in some combination of labor force and productivity growth.
Recent Macro and Year-Ahead Forecast
2017 20182019
(Outlook)Labor Force Participation Rate 62.8% 62.8% 62.8%Labor Force Growth 0.7% 1.0% 1.0%Labor Productivity Growth 0.6% 1.3% 1.4%Unemployment Rate 4.4% 3.9% 3.6%Real GDP Growth 2.3% 2.9% 2.7%Real Disposable Income Growth 2.6% 2.5% 2.6%Real Personal Consumption Growth 2.5% 2.7% 2.7%Real Gross Private Fixed Investment Growth 4.8% 5.1% 4.6%Real Imports Growth 4.6% 4.8% 4.0%Real Exports Growth 3.0% 4.2% 3.1%Real Government Growth -0.1% 1.6% 1.9%Federal Deficit (Billion $) -659.8 -805.9 -949.4
OUTLOOK FOR RECESSION
Recession 2020?Two major consensus surveys agree that growth should slow slightly in 2019, probably to 2.7% from 2.9% in 2018. This is still above potential.Blue Chip average for probability of recession in 2019 is 22% and 33.7% in 2020. However, there is a high variance on these probabilities, among the economists surveyed. (JP Morgan puts the 2020 probability at over 60%).On the one hand, the economy is growing strongly, while not overheating. There is no evidence of a bubble that may burst.Risks include:
Slowing global economySlower growth due to labor force supply constraintsSlowdown in stimulus from TCJA and federal spending increasesFed rate increases possibly contributing to slowing residential constructionHigh level of corporate debtFlattening yield curveUncertainty about international trade due to tariff threats
The current expansion is over 9 years old. Growth has been lower than previous expansions, due to slower population, labor force and productivity.
2009-2018 Expansion: 2nd Longest, and Slowest
1.00
1.10
1.20
1.30
1.40
1.50
1.60
Years SinceTrough
1 2 3 4 5 6 7 8 9 10
Real GDP Growth in Major Postwar Expansions
1961.1‐1969.4
1982.4‐1990.3
1991.1‐2001.1
2001.4‐2007.4
2009.2‐2018.3
Source: US Bureau of Economic Analysis
Yield Curve and Recent U.S. Recessions
Yield Curve and Recent U.S. Recessions
0.0
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
1995
1997
1999
2001
2003
2005
2007
2009
2011
2013
2015
2017
Treasury Yields: 1995‐Present
1‐Month 3‐Month 6‐Month 1‐Year 2‐Year 3‐Year 5‐Year 7‐Year 10‐Year 20‐Year
Effective Federal Funds RateThe Fed is expected to raise the target another 25 basis points this month, with 3 more increases in 2019.
High Corporate DebtU.S. corporate debt is now at an all-time high of over 45% of GDP. This could pose risks for profitability and the stock market as interest rates rise.
Source: RealInvestmentAdvice.com
Recession RiskBelow is a graphical illustration of results of “a simple U.S. recession predictor” produced by Seeking Alpha. The predictor is based solely on the yield curve, the unemployment rate, and the rate of inflation.
TRADE WAR
Thinking About TradeProducts traded between countries are determined partly by comparative advantage, partly by price discrimination (branding) and partly by strategic investments and location decisions by multinational companies.Trade deficit or surplus is determined simultaneously with savings balances in the household, business and government sectors. Causality runs both ways.Increasing shares of total trade (imports + exports) to GDP has been trending generally upward, with a few interruptions. This is based on reductions in the cost of transportation and information flows, as well as foreign investment by MNCs. This is one face of globalization.Globalization contributes to economic growth, but can also be disruptive. It is related to the secular decline and stagnation of US manufacturing, but helps reduce costs for consumers and business.The anti-globalization attitudes in many countries are driven by perceptions that trade is unfair.Particularly vis-a-vis China, there are important concerns about protection of intellectual property and fair access to Chinese markets.
US Merchandise Trade
Source: UN Comtrade
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
1990 1992 1994 1996 1998 2000 2002 2004 2006 2008 2010 2012 2014 2016
Millions of D
ollars
Exports
Imports
Since well before the 1990s, the US has run a merchandise trade deficit. The total deficit in 2017 was $945.4 billion, up from $131.5 billion in 1990. This is larger than the total trade deficit, as the US runs a surplus in services trade.
Top 10 Sources of US Imports
Source: UN Comtrade
0
100,000
200,000
300,000
400,000
500,000
600,000
China Mexico Canada Japan Germany Rep. ofKorea
UnitedKingdom
Italy India France
Millions of D
ollars
China is by far the largest exporter to the US, followed by Mexico and Canada. These 3 countries provide nearly 50% of total US imports.
Top 10 Destinations for US ExportsChina is the 3rd largest destination for US exports, behind Canada and Mexico. These 3 countries buy 42% of the total.
Source: UN Comtrade
0
50,000
100,000
150,000
200,000
250,000
300,000
Millions of D
ollars
US/China Bilateral Trade
Source: UN Comtrade (includes Hong Kong)
0
100,000
200,000
300,000
400,000
500,000
600,000
1991 1993 1995 1997 1999 2001 2003 2005 2007 2009 2011 2013 2015 2017
Millions of D
ollars
Imports
Exports
The bilateral deficit with China has grown faster than the total. The China deficit was $373.7 billion in 2017, up from $15.6 billion in 1991.
Source: UN Comtrade (includes Hong Kong)
‐400,000
‐350,000
‐300,000
‐250,000
‐200,000
‐150,000
‐100,000
‐50,000
0
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
2017
Millions of D
ollars
US/China Bilateral Trade Deficit
Top 10 US Exports to China
0 20,000 40,000 60,000 80,000
Textiles
Household appliances
Motor vehicle parts
Other electrical equipment and components
Fabricated metal products
Furniture
Miscellaneous manufacturing
Computers
Apparel and leather
Communications equipment
Millions of Dollars
Source: UN Comtrade converted to Inforum NAICS Classification
Top 10 US Imports from China
0 20,000 40,000 60,000 80,000
Household appliancesPetroleum products
Other electrical equipment and…Motor vehicle parts
Fabricated metal productsFurniture
Miscellaneous manufacturingComputers
Apparel and leatherCommunications equipment
Millions of Dollars
Source: UN Comtrade converted to Inforum NAICS Classification
US Deficits with China
0 20,000 40,000 60,000 80,000
Textiles
Household appliances
Motor vehicle parts
Other electrical equipment and components
Fabricated metal products
Furniture
Miscellaneous manufacturing
Computers
Apparel and leather
Communications equipment
Millions of Dollars
Source: UN Comtrade converted to Inforum NAICS Classification
US Surpluses with China
0 5,000 10,000 15,000 20,000
Coal mining
Metal ore mining
Other foods
Resin, synthetic rubber and fibers
Dairy products, meat and seafood
Motor vehicles
Aerospace
Crops
Millions of Dollars
Source: UN Comtrade converted to Inforum NAICS Classification
Section 232 – Trade Expansion Act of 1962The President may impose tariffs based upon a recommendation by the Secretary of Commerce if an article being imported is in such quantities or under such circumstances as the threaten or impair national security.Factors to be considered include:
1. Domestic production required for national defense requirements.2. Capacity of domestic industry to meet such requirements.3. Availability of human resources, products, raw materials and other supplies and
services essential to national defense.4. Growth requirements of domestic industries to meet dfense requirements.5. Loss of investment, specialized skills and productive capacity.
Recent investigations:April 20, 2018 – Steel importsApril 27, 2018 – Aluminum importsJuly 20, 2018 – Autos and auto parts
Section 301 – Trade Act of 1974The President may take action, including retaliation, for unfair trade practices that burden or restrict U.S. Commerce.The most recent actions have been focused on enforcing intellectual property (IP) rights.
Section 301 cases can be initiated by the U.S. Trade Representative or as a result of a petition filed by a firm or industry group.Recent investigation:
August 18, 2017 – USTR initiated investigation into unfair practices in China relating to technology transfer, intellectual property and innovation.March 22, 2018 – President directed USTR to take appropriate action, including increased tariffs on selected Chinese imports. USTR developed a list of products that benefit from Chinese industrial policies, including “Made in China 2025”. Products were removed where tariffs were considered to cause “significant disruptions” to the U.S. economy. This list includes roughly $50 billion of US imports from China.July 6, 2018 – First tranch of 25% tariffs announced, on about $34 billion of Chinese goods.August 23, 2018 – Second tranch of 25% tariffs, on an additional $16 billion.September 24, 2018 – List of tariffs developed on additional $200 billion. These will start at 10% but be raised to 25% in January, 2019.
Analysis of Section 301 Tariffs and China Retaliation
Although there are several simultaneous trade actions occurring, it is useful to focus on the bilateral US/China actions.We used the Inforum LIFT model to approach answers to the following questions:
What is the impact of tariffs imposed on Chinese goods on US import prices?How does this translate into prices paid by consumers and business for imports?How much tariffs will be collected in total?How much will US imports decline in response to the tariffs?What will be the impact of Chinese tariffs on US exports?What is the net effect on the overall trade balance?What are the impacts on GDP, disposable income, personal consumption and investment?
The LIFT ModelLIFT is an interindustry macroeconomic model of the U.S., with IO demand and price relationships at its core, but also a dynamic aggregative model.Econometric equations are included for all vectors of final demand, value added, employment and hours. There are 121 commodities and 71 industries in the model.The model structure is useful for understanding how changes in import prices affect average prices paid in the U.S. and imports by commodity.Price changes affect consumers, but also industries that purchase imported goods for intermediate consumption.Benefits and costs can be expected to be different for each industry.
The LIFT ModelDemand Block
Personal Consumption
Fixed Investment
Exports
Productivity, Employment
Government
Total D
emand
Input Output Solution
SupplyOutput
Inventory Change
Imports
Income BlockLabor Compensation
Proprietor Income
Taxes on Production & Imp.
Profits
Unemployment Rate, GDP Gap
Input Output Price Solution
Domestic
Prices
Population, Labor Force,
Demographics
Global Demands, Foreign Prices
The AccountantNational Income Aggregates
Government Rev. & Exp.
Contributions and Transfers
Personal, Disposable Income
Exogenous Endogenous Core Components
Implementation in the LIFT ModelCompile UN Comtrade imports and exports data by bilateral trading partner at the LIFT 121 NAICS sectoring.Calculate shares of US imports from China by commodity subject to the Section 301 tariffs.Calculate the import price change (exogenous to LIFT).Model the impacts of these import price changes on trade, personal consumption and consumer and GDP deflators.Calculate shares of US exports to China subject to retaliatory tariffs.Calculate implied changes in average price to China and the associated reduction in exports to China. Introduce the export changes to LIFT as an exogenous assumption.Estimate total customs duties collected and include them in Federal taxes on production and imports (TOPI).
Sample of Section 301 Products Subject to Tariff
HS 4-digit Bilateral Trade Data: US Imports from China
HS 4‐digit CommodityUS Imports from China
5401 Sewing thread of man‐made filaments, whether or not put up for retail sale 5,145,937
5402Synthetic filament yarn (other than sewing thread), not put up for retail sale, including synthetic monofilament of less than 67 decitex 287,889,141
5403Artificial filament yarn (other than sewing thread), not put up for retail sale, including artificial monofilament of less than 67 decitex 1,123,788
5404Synthetic monofilament of 67 decitex or more, of which no cross‐sectional dimension exceeds 1mm; strip and the like (e.g. artificial straw) of synthetic textile materials of an apparent width not exceeding 5mm 17,016,397
5405Artificial monofilament of 67 decitex or more, no cross‐sectional dimension exceeds 1mm; strip and the like (e.g. artificial straw), of artificial textile materials of a width not exceeding 5mm 96,439
5406 Man‐made filament yarn (other than sewing thread), put up for retail sale 5,544,2735407 Woven fabrics of synthetic filament yarn, including woven fabrics obtained from materials of heading no. 5404 232,260,9155408 Woven fabrics of artificial filament yarn including woven fabrics obtained from materials of heading no. 5404 5,430,921
Impact of Section 301 Tariffs on Average US Import Prices
Commodity
Total Merchandise
Imports
Merchandise Imports from
ChinaShare subject to 25% tariff
Value subject to tariff
Amount of Tariff
Percent Increase in Average
Import Cost42 Communications and audio‐video equipment 145,056 86,424 0.258 22,297 5,574 3.820 Apparel and leather 130,693 54,392 0.148 8,050 2,012 1.541 Computers and peripheral equipment 87,041 49,869 0.206 10,273 2,568 3.057 Miscellaneous manufacturing 73,162 39,043 0.200 7,809 1,952 2.755 Furniture 54,086 26,907 0.647 17,409 4,352 8.033 Fabricated metal products 63,674 23,630 0.140 3,308 827 1.351 Motor vehicle parts 119,680 22,706 1.000 22,706 5,677 4.749 Other electrical equipment and components 52,895 22,657 0.720 16,313 4,078 7.724 Petroleum and coal products 70,223 13,810 1.000 13,810 3,452 4.947 Household appliances 29,148 13,191 0.550 7,255 1,814 6.2
1. Calculate share subject to tariffs and impact on average import price for each commodity (top line).
2. Calculate impact on weighted price (average of domestic and imported price – middle line)
3. Calculate impact on consumer price (bottom line)
Imports decline in response to the higher price.Personal consumption of each consumption good responds to prices and income.Higher consumption prices reduce real disposable income.
Impact of Tariffs on Chinese Goods in the LIFT Model
Percent Change in Prices, Trade War vs. Base2019
Household AppliancesImport Price 6.2 Chinese Share of Imports 45%Weighted Price 3.9 Import Share of Total Use 59%Consumption Price 3.5
Aggregate Merchandise Import DeflatorMerchandise Import DeflatorMerchandise Import Deflator
1.27
1.13
0.98
2014 2016 2018 2020 2022 2024 Base TradeWar
1. Calculate share subject to tariff and impact on China’s average import price for each commodity
2. Calculate impact on exports to China.
Exports to China decline in response to the higher Chinese import price.
Impact of Retaliatory Tariffs in the LIFT Model
CommodityTotal US Exports
Exports to China
Share Subject to Chinese tariff
Value Subject to
tariffAmount of Tariff
Price increase to
China
Reduction in Chinese Imports
1 Crop production 55,377 17,512 0.630 11,033 2,758 15.8% ‐23.6%27 Other chemicals 93,549 7,360 0.955 7,029 1,757 23.9% ‐35.8%43 Semiconductors and other electronic components 34,629 7,131 0.130 927 232 3.3% ‐4.9%
Summary of Macroeconomic Impacts for 2019
Year: 2019Base Case Scenario
Trade War Scenario Difference
Real GDP Growth 2.5% 1.8% -0.7%Unemployment Rate 3.8% 4.4% 0.6%
Real Disposable Income Growth 2.8% 2.0% -0.8%Real Personal Consumption Growth 2.5% 1.8% -0.7%
Real Gross Private Fixed Investment Growth 4.3% 3.4% -0.9%Real Imports Growth 5.3% 3.6% -1.7%Real Exports Growth 4.2% 2.5% -1.7%
Trade Balance (Billion$) -$733.0 -$775.6 -42.6Federal Deficit (Billion $) -$1,002.3 -$1,031.5 -29.2
CaveatsWe have not yet analyzed the tariff scenario in the context of the full Inforum Bilateral Trade model.If we did, the decline in Chinese imports of US goods would be larger, factoring in slower growth in China.We have also not yet assumed exchange rate adjustments, such as a depreciation of the yuan. This would mitigate the import price increases in the U.S., and U.S. imports from China would not fall by as much. However, China’s imports of U.S. goods would fall even more than in this simulation.Aggregate changes in net exports and the foreign balance need to be consistent with US savings behavior (business, household, government). Reduction in imports from China may show up as increases in imports from other countries, such as Vietnam, the Philippines or Mexico.
Thank you!
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